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Bayesian cognitive modeling: a practical course

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Bibliographic Details
Main Authors:	Lee, Michael D. 19XX- (Author), Wagenmakers, Eric-Jan 1972- (Author)
Format:	Book
Language:	English
Published:	Cambridge Cambridge Univ. Press 2013
Edition:	1. publ.
Subjects:	Bayes-Verfahren Kognitiver Prozess Mathematisches Modell
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026180115&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	XIII, 264 S. Ill., graph. Darst.
ISBN:	9781107018457 9781107603578

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Record in the Search Index

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adam_text	CONTENTS PREFACE ACKNOWLEDGEMENTS PAGE X XI PART I GETTING STARTED THE BASICS OF BAYESIAN ANALYSIS 1.1 GENERAL PRINCIPLES 1.2 PREDICTION 1.3 SEQUENTIAL UPDATING 1.4 MARKOV CHAIN MONTE CARLO 1.5 GOAL OF THIS BOOK 1.6 FURTHER READING- GETTING STARTED WITH WINBUGS 2.1 INSTALLING WINBUGS, MATBUGS, R, AND R2WINBUGS 2.2 USING THE APPLICATIONS 2.3 ONLINE HELP, OTHER SOFTWARE, AND USEFUL URLS 3 3 5 6 7 II 13 16 16 17 32 PART II PARAMETER ESTIMATION 35 INFERENCES WITH BINOMIALS 3.1 INFERRING A RATE 3.2 DIFFERENCE BETWEEN TWO RATES 3.3 INFERRING A COMMON RATE 3.4 PRIOR AND POSTERIOR PREDICTION 3.5 POSTERIOR PREDICTION 3.6 JOINT DISTRIBUTIONS 37 37 39 43 45 47 49 INFERENCES WITH GAUSSIANS 4.1 INFERRING A MEAN AND STANDARD DEVIATION 4.2 THE SEVEN SCIENTISTS 4.3 REPEATED MEASUREMENT OF IQ 54 54 56 58 VI CONTENTS SOME EXAMPLES OF DATA ANALYSIS 60 5.1 PEARSON CORRELATION 60 5.2 PEARSON CORRELATION WITH UNCERTAINTY 62 5.3 THE KAPPA COEFFICIENT OF AGREEMENT 65 5.4 CHANGE DETECTION IN TIME SERIES DATA 68 5.5 CENSORED DATA 70 5.6 RECAPTURING PLANES 73 LATENT-MIXTURE MODELS 77 6.1 EXAM SCORES 77 6.2 EXAM SCORES WITH INDIVIDUAL DIFFERENCES 79 6.3 TWENTY QUESTIONS 82 6.4 THE TWO-COUNTRY QUIZ 84 6.5 ASSESSMENT OF MALINGERING 88 6.6 INDIVIDUAL DIFFERENCES IN MALINGERING 90 6.7 ALZHEIMER S RECALL TEST CHEATING 93 PART III MODEL SELECTION 99 BAYESIAN MODEL COMPARISON 101 7.1 MARGINAL LIKELIHOOD 101 7.2 THE BAYES FACTOR 104 7.3 POSTERIOR MODEL PROBABILITIES 106 7.4 ADVANTAGES OF THE BAYESIAN APPROACH 107 7.5 CHALLENGES FOR THE BAYESIAN APPROACH 110 7.6 THE SAVAGE-DICKEY METHOD 113 7.7 DISCLAIMER AND SUMMARY 116 COMPARING GAUSSIAN MEANS 118 8.1 ONE-SAMPLE COMPARISON 119 8.2 ORDER-RESTRICTED ONE-SAMPLE COMPARISON 121 8.3 TWO-SAMPLE COMPARISON 124 COMPARING BINOMIAL RATES 127 9.1 EQUALITY OF PROPORTIONS 127 9.2 ORDER-RESTRICTED EQUALITY OF PROPORTIONS 129 9.3 COMPARING WITHIN-SUBJECT PROPORTIONS 132 9.4 COMPARING BETWEEN-SUBJECT PROPORTIONS 136 9.5 ORDER-RESTRICTED BETWEEN-SUBJECTS COMPARISON 139 CONTENTS PART IV CASE STUDIES 143 10 MEMORY RETENTION 145 10.1 NO INDIVIDUAL DIFFERENCES 146 10.2 FULL INDIVIDUAL DIFFERENCES 149 10.3 STRUCTURED INDIVIDUAL DIFFERENCES 152 11 SIGNAL DETECTION THEORY 156 11.1 SIGNAL DETECTION THEORY 156 11.2 HIERARCHICAL SIGNAL DETECTION THEORY 161 11.3 PARAMETER EXPANSION 164 12 PSYCHOPHYSICAL FUNCTIONS 168 12.1 PSYCHOPHYSICAL FUNCTIONS 168 12.2 PSYCHOPHYSICAL FUNCTIONS UNDER CONTAMINATION 172 13 EXTRASENSORY PERCEPTION 176 13.1 EVIDENCE FOR OPTIONAL STOPPING 177 13.2 EVIDENCE FOR DIFFERENCES IN ABILITY 180 13.3 EVIDENCE FOR THE IMPACT OF EXTRAVERSION 184 14 MULTINOMIAL PROCESSING TREES 187 14.1 MULTINOMIAL PROCESSING MODEL OF PAIR-CLUSTERING 187 14.2 LATENT-TRAIT MPT MODEL 190 15 THE SIMPLE MODEL OF MEMORY 196 15.1 THE SIMPLE MODEL 196 15.2 A HIERARCHICAL EXTENSION OF SIMPLE 201 16 THE BART MODEL OF RISK TAKING 206 16.1 THE BART MODEL 207 16.2 A HIERARCHICAL EXTENSION OF THE BART MODEL 209 17 THE GCM MODEL OF CATEGORIZATION 212 17.1 THE GCM MODEL 212 17.2 INDIVIDUAL DIFFERENCES IN THE GCM 216 17.3 LATENT GROUPS IN THE GCM 218 18 HEURISTIC DECISION-MAKING 224 18.1 TAKE-THE-BEST 224 18.2 STOPPING 227 18.3 SEARCHING 230 18.4 SEARCHING AND STOPPING 234 CONTENTS 19 NUMBER CONCEPT DEVELOPMENT 237 19.1 KNOWER-LEVEL MODEL FOR GIVE-N 238 19.2 KNOWER-LEVEL MODEL FOR FAST-CARDS 245 19.3 KNOWER-LEVEL MODEL FOR GIVE-N AND FAST-CARDS 247 REFERENCES 252 INDEX 263
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id	DE-604.BV041205318
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indexdate	2024-12-20T16:33:10Z
institution	BVB
isbn	9781107018457 9781107603578
language	English
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physical	XIII, 264 S. Ill., graph. Darst.
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spellingShingle	Lee, Michael D. 19XX- Wagenmakers, Eric-Jan 1972- Bayesian cognitive modeling a practical course Bayes-Verfahren (DE-588)4204326-8 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd
subject_GND	(DE-588)4204326-8 (DE-588)4140177-3 (DE-588)4114528-8
title	Bayesian cognitive modeling a practical course
title_auth	Bayesian cognitive modeling a practical course
title_exact_search	Bayesian cognitive modeling a practical course
title_full	Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers
title_fullStr	Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers
title_full_unstemmed	Bayesian cognitive modeling a practical course Michael D. Lee ; Eric-Jan Wagenmakers
title_short	Bayesian cognitive modeling
title_sort	bayesian cognitive modeling a practical course
title_sub	a practical course
topic	Bayes-Verfahren (DE-588)4204326-8 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd
topic_facet	Bayes-Verfahren Kognitiver Prozess Mathematisches Modell
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026180115&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT leemichaeld bayesiancognitivemodelingapracticalcourse AT wagenmakersericjan bayesiancognitivemodelingapracticalcourse

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